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<p>We developed a process for using Artificial Intelligence to identify quality improvement interventions using medical students' feedback on clinical rotations. Artificial Intelligence matched human accuracy in categorizing comments and proposing actionable quality enhancements. This process significantly reduced analysis time, offering a scalable approach to improving educational experiences at clinical sites.</p>

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Using Artificial Intelligence for Identifying Quality Improvement Interventions in Clinical Medical Clerkships: AI for QI

  • 期刊论文

  • 发表日期：

    2025年4月26日

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  • Magdalena Pasarica,
  • Jeffrey H. Plochocki,
  • Robert D. Dvorak,
  • Nadia E. Rodriguez

摘要

We developed a process for using Artificial Intelligence to identify quality improvement interventions using medical students' feedback on clinical rotations. Artificial Intelligence matched human accuracy in categorizing comments and proposing actionable quality enhancements. This process significantly reduced analysis time, offering a scalable approach to improving educational experiences at clinical sites.